benchclaw-stage3-existing-benchmark-cleaning
OfficialStreamline existing benchmark data cleaning for BenchClaw
Software Engineering#benchmarking#data cleaning#dataset processing#Data-Juicer#benchmark preparation
AuthorEurecaMoment
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the cleaning of existing benchmark datasets for BenchClaw, ensuring data quality and consistency in the benchmarking process.
Core Features & Use Cases
- Automated Data Cleaning: Cleans and prepares existing benchmark datasets for further processing.
- Data Integrity: Ensures the integrity and consistency of data within the benchmark datasets.
- Use Case: For example, when you have a collection of benchmark datasets that require cleaning and standardization before they can be used for evaluation.
Quick Start
Run the benchclaw-stage3-existing-benchmark-cleaning skill on the dataset with the command: /benchclaw-subskill /path/to/skill.md benchclaw-stage3-existing-benchmark-cleaning /project/root /benchclaw/root /workspace/parent /workspace/root /node/work_unit_id /input/artifact/path /output/artifact/path /parent_dag_dependencies
Dependency Matrix
Required Modules
data-juicer
Components
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: benchclaw-stage3-existing-benchmark-cleaning Download link: https://github.com/EurecaMoment/BenchClaw/archive/main.zip#benchclaw-stage3-existing-benchmark-cleaning Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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